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Record W2485939832 · doi:10.1075/ds.2.04coo

The selection of agency as a rhetorical device: Opening up the scene of dialogue through ventriloquism

2008· book-chapter· en· W2485939832 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDialogue studies · 2008
Typebook-chapter
Languageen
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRhetorical questionAgency (philosophy)Selection (genetic algorithm)AestheticsArtVisual artsLiteratureHistoryComputer sciencePhilosophyEpistemologyArtificial intelligence

Abstract

fetched live from OpenAlex

I propose to open up the dialogic scene by showing that a dialogue is never just about discourse and language. It is also about facts, principles, passions, values, ideologies, collectives, worldviews, etc. that can (or cannot) make a difference, i.e., do something, in a given interaction. According to this approach, dialogue is one of the most important phonation devices through which a plethora of ‘things’ – which I call actants – can come to act from a distance. Showing that these actants can be rhetorically mobilized in a given interaction allows me to account for phenomena of ‘ventriloquism,’ that is, the various ways by which human interactants make certain entities (collectives, procedures, policies, ideologies, etc.) speak in their name and vice versa. We will see that this way of dislocating the dialogic scene allows us to address thoroughly the question of power and authority, a question that tends to be relatively downplayed by dialogue analysts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.891
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.331
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it